Ultra-Low-Complexity Algorithms With Structurally Optimal Multi-Group Multicast Beamforming in Large-Scale Systems
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada
2. Department of Electrical, Computer and Software Engineering, Ontario Tech University, Oshawa, ON, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Discovery Grants
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/78/10040758/10098135.pdf?arnumber=10098135
Reference37 articles.
1. Semidefinite Relaxation of Quadratic Optimization Problems
2. Modification of the extra-gradient method for solving variational inequalities and certain optimization problems
3. Robust Multicast Beamforming for Spectrum Sharing-Based Cognitive Radios
4. A Conic Quadratic Programming Approach to Physical Layer Multicasting for Large-Scale Antenna Arrays
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